A survey craft leaving a directional wake across dark water

CREATE SOMETHING .io

Research for automation you can defend.

CREATE SOMETHING .io turns experiments, papers, and field notes into a usable research layer for operators. The goal is evidence you can carry into the next build, review, or production decision.

Read The Papers Browse Experiments

published experiments + papers 21
research categories 1
featured artifacts to inspect first 6
database / automation / judgment layers 3

01 / 03 Evidence selected

Start from the artifact trail.

Start from operator friction, runtime behavior, and implementation receipts. Papers, experiments, and field notes stay tied to the workflow and make the claim, artifact, methodology, and next move inspectable.

Read: Featured Work

Experiments, field notes, and patterns that support this decision.

    ╭──────────────────────────────────────────────────────────╮
    │ WEBFLOW ANALYZER LINEAGE                                │
    │                                                          │
    │ Jan        Feb         Mar                Apr            │
    │ detect  →  extract  →  govern         →  productize     │
    │ experiment   MCP         policy +         reviewer +     │
    │ origin        server      review ops       creator help  │
    │                                                          │
    │ The system got stronger as its boundaries got clearer.   │
    ╰──────────────────────────────────────────────────────────╯

April 25, 2026 12 min read

Webflow Analyzer Lineage: From Detection to Governed Review

research

    ╭──────────────────────────────────────────────────────────────╮
    │                                                              │
    │    USER                    AGENT                   FILTERS   │
    │                                                              │
    │  "Show me chairs      ┌─────────────┐      ┌──────────────┐  │
    │   under $2000"   ───▶ │  Workers AI │ ───▶ │ category:    │  │
    │                       │             │      │   seating    │  │
    │                       │  Reasoning  │      │ price: <2000 │  │
    │                       │  Streaming  │      │ status: any  │  │
    │                       └─────────────┘      └──────────────┘  │
    │                             │                     │          │
    │                             ▼                     ▼          │
    │                       ╔═══════════════════════════════════╗  │
    │                       ║    5 products match               ║  │
    │                       ║    ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐  ║  │
    │                       ║    │   │ │   │ │   │ │   │ │   │  ║  │
    │                       ║    └───┘ └───┘ └───┘ └───┘ └───┘  ║  │
    │                       ╚═══════════════════════════════════╝  │
    │                                                              │
    ╰──────────────────────────────────────────────────────────────╯
         Ask for what you want. Skip the filter taxonomy.

January 31, 2026 10 min read

AI-Native Filtering: Natural Language Product Discovery

research

Evidence

Paper or experiment names the source workflow and operating question
Claim is tied to methodology, implementation notes, or the research graph
Operator notes explain why the workflow exists and where it breaks

Receipts

paper archivemethodologyresearch graph

Read Papers See Methodology Open Graph

02 / 03 Runtime proof needed

Move the claim into a live surface.

Compare cost, speed, and maintenance drag across AI-native stacks. When the claim still depends on timing, state, or failure behavior, move it into the workbench instead of adding another paragraph.

Validate: Featured Work

Experiments, field notes, and patterns that support this decision.

      TRADITIONAL              SHAPE-AWARE (6D)
    ╭─────────────╮          ╭─────────────────╮
   ╱@@@@@@@@@@@@@@@╲        ╱,,,##########,,,,╲
  │@@@@##########@@@│      │,,##MMMMMMMM##,,,│
  │@@@############@@│ ──▶  │,#MMMMMMMMMMMM#,,│
  │@@@@@@@@@@@@@@@@@@│      │,#MMMMM""""MMM#,,│
   ╲@@@@@@@@@@@@@@@╱        ╲,,##########,,,╱
    ╰─────────────╯          ╰─────────────────╯
    Blurry edges             Sharp contours

           6D Shape Vector
          ╭───┬───╮
          │ ○ │ ○ │ ← upper (staggered)
          ├───┼───┤
          │ ○ │ ○ │ ← middle
          ├───┼───┤
          │ ○ │ ○ │ ← lower (staggered)
          ╰───┴───╯

     ASCII characters are not pixels—
              they have SHAPE.

January 21, 2026 8 min read

Shape-Aware ASCII Renderer: 6D Character Matching

research

                               N ▲
                            ▲▲▲▲▲▲▲
                          ▲▲▲▲▲▲▲▲▲▲▲
                         ╱─────────────╲
                        ╱  ○ ○ ○ ○ ○ ○  ╲
                       │  ○ ○ ● ● ○ ○ ○  │
                    W ◀│ ○ ○ ● ● ● ○ ○ ○ │▶ E
                       │  ○ ○ ● ○ ○ ○ ○  │
                        ╲  ○ ○ ○ ○ ○ ○  ╱
                         ╲─────────────╱
                          ▼▼▼▼▼▼▼▼▼▼▼
                            ▼▼▼▼▼▼▼
                               S ▼

     ○ calm    ● crowded    ● panicked
     8,000+ agents │ 60 FPS │ Social Force Model

     Watch crowds form, bottlenecks emerge, panic spread.

January 20, 2026 8 min read

Living Arena GPU: WebGPU Crowd Simulation

research

Evidence

Pattern has a concrete execution question
Timing, state, and failure behavior are visible
Implementation tradeoffs are written for operators, not leaderboard chatter

Receipts

runtime notemotion outputdata trace

Open .space

03 / 03 Delivery decision

Carry proven evidence into delivery.

Turn proven judgment into policy packs, release checks, contracts, and runbooks. When the risk is commercial, operational, or reputational, route the evidence to a scoped workflow with an explicit owner.

Scope: Featured Work

Experiments, field notes, and patterns that support this decision.

           ✓ VALIDATED │ v2.3.0 │ 41/41 tests
        ╔═══════════════════════════════════════════════════════╗
        ║  WEBFLOW PLAGIARISM DETECTION                         ║
        ║                                                       ║
        ║  ┌──────────┐   ┌──────────┐   ┌──────────┐          ║
        ║  │ MinHash  │──▶│   LSH    │──▶│ PageRank │          ║
        ║  │ (1997)   │   │ (1998)   │   │ (1996)   │          ║
        ║  └──────────┘   └──────────┘   └──────────┘          ║
        ║       │              │              │                 ║
        ║       └──────────────┴──────────────┘                 ║
        ║                      │                                ║
        ║               ╔══════▼══════╗                         ║
        ║               ║  Bayesian   ║                         ║
        ║               ║  Confidence ║                         ║
        ║               ╚══════╤══════╝                         ║
        ║                      │                                ║
        ║               ╔══════▼══════╗                         ║
        ║               ║  MCP Tools  ║───▶ Team AI Agents      ║
        ║               ║ (10 tools)  ║                         ║
        ║               ╚═════════════╝                         ║
        ║                                                       ║
        ║  9,593 templates │ 517,850 functions │ $2.20/month    ║
        ╚═══════════════════════════════════════════════════════╝
              Classic algorithms. Agent-native delivery.

January 20, 2026 15 min read

Webflow Plagiarism Detection: Agent-Native Algorithms

research

                    ╱╲      ╱╲      ╱╲
                   ╱  ╲    ╱  ╲    ╱  ╲
                  ╱ 🛡️ ╲  ╱ 💡 ╲  ╱ 🌡️ ╲
                 ╱SECUR╲╱ LITE ╲╱ HVAC ╲
                ╱────────────────────────╲
               ╱                          ╲
              │    ╭────────────────╮      │
              │    │                │      │
              │    │   ╭──────╮     │      │
              │    │   │  AI  │     │      │
              │    │   ╰──────╯     │      │
              │    │       │        │      │
              │    │       ▼        │      │
              │    │      👤        │      │
              │    │  HUMAN DECIDES │      │
              │    ╰────────────────╯      │
               ╲                          ╱
                ╲────────────────────────╱
                 ╲ 📅 ╱╲ 📡 ╱╲    ╱
                  ╲  ╱  ╲  ╱  ╲  ╱
                   ╲╱    ╲╱    ╲╱
           The system helps. A human chooses.

January 16, 2026 12 min read

Living Arena: AI-Native Automation at Scale

research

Evidence

Database / Automation / Judgment remains the operating frame
Evidence points to controls, policy, and recovery
Delivery handoff has an owner and a clear first lane

Receipts

handoff notepolicy cuemapping session

Open The Practice

Property progression

Move the evidence into its next operating surface.

.io does the reading so the rest of CREATE SOMETHING can move faster. Start with the methodology, inspect the papers and graph, use .space for runtime validation, .learn for guided practice, .ltd for the thesis, and .agency when a named workflow is ready to map.

You are here .io Research

Owner: Research operator
Authority: Evidence before promotion
Proof: Paper + graph + method
State: ready

Try the workbench Follow a guided practicum Map the researched workflow